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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Spatial modelling of healthcare utilisation for treatment of fever in Namibia
|
|---|---|
| Published in |
International Journal of Health Geographics, February 2012
|
| DOI | 10.1186/1476-072x-11-6 |
| Pubmed ID | |
| Authors |
Victor A Alegana, Jim A Wright, Uusiku Pentrina, Abdisalan M Noor, Robert W Snow, Peter M Atkinson |
| Abstract |
Health care utilization is affected by several factors including geographic accessibility. Empirical data on utilization of health facilities is important to understanding geographic accessibility and defining health facility catchments at a national level. Accurately defining catchment population improves the analysis of gaps in access, commodity needs and interpretation of disease incidence. Here, empirical household survey data on treatment seeking for fever were used to model the utilisation of public health facilities and define their catchment areas and populations in northern Namibia. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 227 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Kenya | 2 | <1% |
| United Kingdom | 2 | <1% |
| Japan | 1 | <1% |
| Sweden | 1 | <1% |
| Unknown | 217 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 42 | 19% |
| Researcher | 41 | 18% |
| Student > Ph. D. Student | 35 | 15% |
| Student > Doctoral Student | 15 | 7% |
| Student > Bachelor | 11 | 5% |
| Other | 35 | 15% |
| Unknown | 48 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 49 | 22% |
| Social Sciences | 22 | 10% |
| Nursing and Health Professions | 14 | 6% |
| Agricultural and Biological Sciences | 14 | 6% |
| Environmental Science | 13 | 6% |
| Other | 58 | 26% |
| Unknown | 57 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 March 2018.
All research outputs
#7,047,742
of 25,374,647 outputs
Outputs from International Journal of Health Geographics
#224
of 654 outputs
Outputs of similar age
#59,866
of 258,163 outputs
Outputs of similar age from International Journal of Health Geographics
#1
of 8 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 654 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has gotten more attention than average, scoring higher than 65% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 258,163 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them